Enabling collaboration in data analytics allows multiple teams to share access to data assets used in a project as well as communicate with others on their progress, this gives all parties involved a complete view of the project which allows teams to yield more valuable insights.
In this tutorial, we will show you how to use Spotlight to enhance collaboration within analytics teams in your organization. You are more than welcome to follow along with this tutorial using the Spotlight virtual lab. We also created a video overview if you rather sit back and watch.
Adding Context to Data Assets
One of the things that data assets in Spotlight have in common is the “Info” tab. This tab will generally show the following information:
Contextual description of the asset.
Activity time stamps
If you are working with a dataset, the info tab will also contain:
Source of the dataset
List of workspaces where the dataset is used
List of users or groups who have visibility of the dataset.
To add contextual information to a data asset, first, select the asset that you want to use
Then, click on the infotab
Click on the text field and add a description to the asset. This text field supports Markdown so you can get creative with the formatting. Keep in mind that there is a limit of 400 characters.
Tagging a Data Asset
Adding tags helps you quickly identify, search and identify assets in Spotlight. To add a tag, simply click on the “Please provide tags” field and start typing away.
Managing collaborators is a feature only available for workspaces. To add or remove a collaborator click on the plus sign next to the owner initials at the top right corner of the screen:
This action will open the Collaborator panel where you can add or remove collaborators
You can also search for users using the “Find People” text field. Once you find the user that you want to add, click on the plus sign next to their name and then click apply
To remove a user, hover over their name and a minus sign will appear. Click on it to remove the user.
The steps that we took in this tutorial allowed us to add context, tags, and collaborators to data assets in Spotlight, which will allow all the users to get a better view of the overall progress of any analytics project.
Enhancing collaboration is only one of the multiple features that Spotlight offers to help you gain more value from your data. To learn more about the collaboration features included in Spotlight please check out our documentation. As always, we look forward to your feedback. Please get in touch if you have any questions, comments, or other ideas.